AI-BASED FORENSIC ANALYSIS OF DIGITAL IMAGES: TECHNIQUES AND APPLICATIONS IN CYBERSECURITY

Abstract

In order to find uncommon genetic disorders early on, this Narrative Study examines the possibilities, difficulties, and outcomes of applying Artificial Intelligence (AI) to scan massive government-held face imagine datasets. Artificial intelligence and government-owned face picture databases have the ability to completely change the early detection of uncommon genetic illnesses. Within the ever-changing field of digital forensics, the combination of AI and ML represents a game-changing technological advancement that has the potential to significantly increase the effectiveness and accuracy of digital forensics inquiries. In the law enforcement agencies throughout the world, multi-year digital forensic shortages are becoming the norm. Due to the sheer number of cases needing their skills and the volume of data that has to be processed, digital forensic investigators are overworked. Artificial intelligence is frequently considered the answer to a wide range of big data issues. The techniques and methods for digital forensics that are currently based on artificial intelligence are summarised in this article. Digital forensic analysis may be completed more quickly and with more case processing capacity if automated evidence processing using AI-based methods is used. Every artificial intelligence application that is mentioned has a number of current obstacles and potential future effects that are examined.